Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often "messy" and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.

As Earth faces the greatest mass extinction in 65 million years, the present is a moment of tremendous foment and emergence in ecological science. With leaps in advances in ecological research and the technical tools available, scientists face the critical task of challenging policymakers and the public to recognize the urgency of our global crisis. This book focuses directly on the interplay between theory, data, and analytical methodology in the rapidly evolving fields of animal ecology, conservation, and management. The mixture of topics of particular current relevance includes landscape ecology, remote sensing, spatial modeling, geostatistics, genomics, and ecological informatics. The greatest interest to the practicing scientist and graduate student will be the synthesis and integration of these topics to provide a composite view of the emerging field of spatial ecological informatics and its applications in research and management.

The Arctic, the Antarctic, and the Hindu Kush-Himalayas form a trio of terrains sometimes called "the three poles". Mainly composed of rock, snow, and ice, these precious regions, which are home to many unique species such as the polar bear, the emperor penguin, and the snow leopard, contain the primary water resource of this planet and directly shape our climate. This book presents a first-ever global assessment and progressive review of the three poles and demonstrates the urgent need for their protection. Sins of the past have irrevocably harmed and threatened many of the unique qualities of these regions, and the future looks bleak with the global population forecast to reach 9 billion by 2060, and with climate change on the rise. Presented here is a wide-reaching and coherent overview of the three poles' biodiversity, habitats, and ongoing destruction. Failed protection and social targets set by the United Nations and other bodies are exposed while economic growth, unconstrained or inappropriate development, and urban sprawl are promoted unabated. Polar regions play a major role in the global agenda as they are rich in oil and other resources, marking them for contamination, overfishing, and further degradation. Tourism in the Antarctic has benefited from enlightened self-regulation, but there are signs that this is changing, too. The chapters of this book are written by experts in their fields, and their evidence leaves no doubt that we already live beyond our carrying capacity on a finite but decaying space. A global protection role model and several outlook scenarios are proposed to help set in motion polar protection priorities that are actually valid. Humanity has demonstrated through international treaties such as the Antarctic Treaty and the Madrid Protocol that we can put the interests of the planet as a whole first. This must become the norm, not the exception.

The Arctic, the Antarctic, and the Hindu Kush-Himalayas form a trio of terrains sometimes called "the three poles". Mainly composed of rock, snow, and ice, these precious regions, which are home to many unique species such as the polar bear, the emperor penguin, and the snow leopard, contain the primary water resource of this planet and directly shape our climate. This book presents a first-ever global assessment and progressive review of the three poles and demonstrates the urgent need for their protection. Sins of the past have irrevocably harmed and threatened many of the unique qualities of these regions, and the future looks bleak with the global population forecast to reach 9 billion by 2060, and with climate change on the rise. Presented here is a wide-reaching and coherent overview of the three poles' biodiversity, habitats, and ongoing destruction. Failed protection and social targets set by the United Nations and other bodies are exposed while economic growth, unconstrained or inappropriate development, and urban sprawl are promoted unabated. Polar regions play a major role in the global agenda as they are rich in oil and other resources, marking them for contamination, overfishing, and further degradation. Tourism in the Antarctic has benefited from enlightened self-regulation, but there are signs that this is changing, too. The chapters of this book are written by experts in their fields, and their evidence leaves no doubt that we already live beyond our carrying capacity on a finite but decaying space. A global protection role model and several outlook scenarios are proposed to help set in motion polar protection priorities that are actually valid. Humanity has demonstrated through international treaties such as the Antarctic Treaty and the Madrid Protocol that we can put the interests of the planet as a whole first. This must become the norm, not the exception.

As Earth faces the greatest mass extinction in 65 million years, the present is a moment of tremendous foment and emergence in ecological science. With leaps in advances in ecological research and the technical tools available, scientists face the critical task of challenging policymakers and the public to recognize the urgency of our global crisis. This book focuses directly on the interplay between theory, data, and analytical methodology in the rapidly evolving fields of animal ecology, conservation, and management. The mixture of topics of particular current relevance includes landscape ecology, remote sensing, spatial modeling, geostatistics, genomics, and ecological informatics. The greatest interest to the practicing scientist and graduate student will be the synthesis and integration of these topics to provide a composite view of the emerging field of spatial ecological informatics and its applications in research and management.

This book highlights key results and lessons learnt from two field sites, La Suerte in Costa Rica and Ometepe Nicaragua. It provides long term data on species abundance and distribution. Primates receive specific attention in this book, as they are flagship species and good indicators for the "health" of an ecosystem, but as well a money maker. Many primate species are sensitive to habitat alteration, and are often hunted out first. But they play an important role as seed dispersal agents for the regeneration of the forest. The book then compares results from the two field sites with regional trends, and explores potential solutions such as REDD+. This book strongly calls for new approaches in conservation, it makes the case for looking beyond the pure species biology and classic conservation angle and to take into account the economic and political realities.

This book highlights key results and lessons learnt from two field sites, La Suerte in Costa Rica and Ometepe Nicaragua. It provides long term data on species abundance and distribution. Primates receive specific attention in this book, as they are flagship species and good indicators for the "health" of an ecosystem, but as well a money maker. Many primate species are sensitive to habitat alteration, and are often hunted out first. But they play an important role as seed dispersal agents for the regeneration of the forest. The book then compares results from the two field sites with regional trends, and explores potential solutions such as REDD+. This book strongly calls for new approaches in conservation, it makes the case for looking beyond the pure species biology and classic conservation angle and to take into account the economic and political realities.

Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. Due to the inherent use of GIS for much of this kind of research, and as several authors' research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters' GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences.

Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability.

Due to the inherent use of GIS for much of this kind of research, and as several authors research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences."